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Journal of Neurology

, Volume 256, Issue 9, pp 1480–1484 | Cite as

Parkinson’s disease sleep scale, sleep logs, and actigraphy in the evaluation of sleep in parkinsonian patients

  • Santiago Perez-Lloret
  • Malco Rossi
  • María Inés Nouzeilles
  • Claudia Trenkwalder
  • Daniel P. Cardinali
  • Marcelo Merello
Open Access
Original Communication

Abstract

The aim of this study was to compare the results of the day-to-day self-evaluation of sleep quality by sleep logs with Parkinson’s disease sleep scale (PDSS) in Parkinson’s disease (PD) patients. Actigraphy was used as an independent analysis of nighttime activity interfering with sleep. A total of 71 idiopathic PD patients and 21 age- and sex-matched normal individuals lacking any type of sleep disturbance were recruited. Sleep was evaluated by PDSS, 7-d sleep log and actigraphy. Sleep logs and PDSS showed reduced sleep quality and daytime somnolence scores in moderate/severe PD patients as compared to healthy controls. Significant correlations were found between sleep quality in sleep logs and all domains of PDSS sleep quality, except for the presence of nocturia, which correlated with nocturnal activity. PD severity and depression were the only predictors of reduced sleep quality. The retrospective and day-to-day sleep self-evaluations were coincident. Reduced sleep quality was related to increased PD severity and depression scores.

Keywords

Sleep logs Parkinson’s disease Actigraphy Sleep disorders Sleep evaluation 

Introduction

Up to 90% of Parkinson’s disease (PD) patients complain of sleep problems [11, 14, 24]. The most commonly observed sleep disorders in PD patients are linked to nocturnal motor disorder, including off-state dystonia, cramps, tremor, or severe akinesia and rigidity producing painful postures and problems when turning in bed as well as neuropsychiatric symptoms, i.e., vivid dreams, nocturnal hallucinations, and REM sleep behavior disorder [3, 6, 12]. Periodic limb movements disorder and nocturia are also commonly observed in PD [3, 7, 12].

The 15-item Parkinson’s disease sleep scale (PDSS) has been developed for retrospective sleep self-evaluation in PD [3, 17]. The scale is reliable, is able to differentiate healthy controls from PD patients, and correlates well with disease severity. The daytime somnolence item (#15) and restlessness item (#4) have received support from the Epworth score [3] and International Restless Legs Syndrome Study Group diagnostic criteria [25], respectively. One of its limitations is that it is based on 15-d retrospective sleep quality self-evaluation.

On the other hand, sleep logs allow a day-to-day evaluation of bedtime, rising time, sleep latency, number and duration of awakenings, naps, and some indexes of sleep quality [23]. Though sleep logs are widely used for sleep evaluation in healthy subjects and insomniacs [4, 21, 23], they have not been systematically assessed in PD.

In the present study, the day-to-day sleep quality self-evaluation by sleep log was compared to PDSS results. Actigraphy was used as an independent analysis of nighttime activity interfering with sleep.

Methods

Study sample

PD patients were recruited from a tertiary out-patient clinic. To be included, subjects had to fulfill the United Kingdom Parkinson’s Disease Society Brain Bank criteria [16] and have a mini-mental state examination (MMSE) score >24 points.

A group of healthy controls frequency-matched for sex and age, without sleep complaints, chronic diseases or secondary causes of insomnia, and not taking any type of hypnotic medication, were recruited from the general population. The protocol conforms to the principles enumerated in the Helsinki Declaration, was approved by the Institutional Review Board, and all subjects signed an informed consent after full explanation of the procedures.

PD evaluation

PD patients were subjected to cognitive, psychiatric, and motor evaluation including the MMSE [10], Montgomery-Asberg Depression Rating scale (MADRS) [20], Unified PD rating scale (UPDRS) [9], and Hoehn & Yahr scale (H&Y) [15]. Medication records were used to calculated levodopa equivalent daily dose (LDED) according to the usual formula [22].

PDSS

PD patients and healthy controls completed the self-administered Spanish version of PDSS during their clinical interviews [17]. For evaluation of the results, PDSS items were grouped according to domain: sleep quality (items 1–3); nocturnal restlessness (items 4 and 5); nocturnal psychosis (items 6 and 7), nocturia (item 8); nocturnal motor symptoms (items 9–13) and daytime somnolence (items 14 and 15) [25].

Sleep diary and actigraphy

After the initial clinical interview, a standard sleep log was completed by patients and controls every day after waking up. Information about the time at which subjects fell asleep and woke up, as well as the number and duration of perceived awakenings were registered [1, 2]. It also included three 10 cm visual analog scales for quantification of sleep latency (“a lot”–“a little”), sleep quality (“bad”–“good”) and morning freshness (i.e., how tired the subject felt on waking, “a lot”–“a little”). Total sleep log scores were calculated as the sum of all three items, ranging between 0 and 30.

Participants were instructed to wear an actigraphy device (MicroMini-Motionlogger, Ambulatory Monitoring Inc, NY, USA) in addition to completing the 7-d sleep log. The actigraphic device was attached to the non-dominant wrist [18]. Nocturnal activity, nocturnal motility time, and time in bed were calculated using Action W 2.5 software (Ambulatory Monitoring Inc, NY, USA).

Statistical analysis

Categorical data were compared using chi-square, and numerical variables by ANOVA. Factor analysis was used to check the reliability of the sleep logs. The Pearson correlation coefficient was employed to assess the associations between PDSS, sleep log, and actigraphy.

Sleep log scores and nocturnal activity were related to the characteristics of PD and its treatment by multiple linear regression.

Actigraphic data were log transformed to render them normally distributed. Data are expressed as mean ± standard error of the mean unless otherwise stated. Alfa error was set at 0.05.

Results

A total of 71 PD patients and 25 age- and sex-matched controls were recruited. Four controls were excluded because of incomplete data. Age was 64.4 ± 2.0 years in controls and 68.5 ± 1.0 years in PD patients (p = 0.1). No gender differences were noticed between controls and patients (29 and 49% were males, respectively, p = 0.1).

PD patients showed UPDRS II scores (daily living), III (motor score), and IV (levodopa complication scores) of 11.4 ± 0.8, 17.8 ± 1.2, 2.9 ± 0.5, respectively. The sum of these scores (UPDRS II–IV) was 32.0 ± 1.9. Median Hoehn & Yahr score was 2 (interquartile range 1.5–3). Mean disease duration was 7.7 ± 0.7 years and mean MMSE and MADRS scores were 29.1 ± 0.2 and 7.0 ± 0.8, respectively. Out of the 71 PD patients, 14 were medication-naïve (20%). In treated subjects, mean LDED was 596.9 ± 54.9 mg/d. Fifteen (21%) patients received only levodopa, while 14 (20%), 13 (18%), 10 (14%), and 5 (7%) patients received also piribedil, cabergoline, pramipexol, or other dopaminergic agonists, respectively.

Sleep evaluation in PD patients

As summarized in Table 1, sleep quality was significantly worse in PD patients as compared to controls when evaluated either by PDSS or by sleep log. While advanced PD patients (H&Y III–V) showed striking sleep disturbance, mild/moderate PD patients (H&Y I–II) showed less sleep deterioration, reaching significance only in PDSS sleep quality, daytime somnolence, and PDSS total score.
Table 1

Comparison of sleep log and actigraphic data between PD patients and controls

 

Controls (n = 21)

H&Y I–II (n = 46)

H&Y III–V (n = 25)

p

PDSS

 Sleep quality

22.69 ± 1.09

19.8 ± 0.85*

18.46 ± 1.23*

0.05

 Nocturnal restlessness

16.43 ± 0.42

15.8 ± 0.45

14.83 ± 0.72

0.2

 Nocturnal psychosis

17.81 ± 0.5

16.27 ± 0.48

14.24 ± 0.84*

0.002a

 Nocturia

4.69 ± 0.71

3.74 ± 0.49

4.55 ± 0.7

0.5

 Nocturnal motor symptoms

44.65 ± 0.66

42.02 ± 0.93

38.37 ± 1.72*

<0.01a

 Daytime somnolence

16.51 ± 0.37

14.13 ± 0.6*

11.99 ± 0.93*

<0.001a

 PDSS total score

122.78 ± 1.77

111.78 ± 2.38*

102.43 ± 3.71*

<0.001a

Sleep log

 Sleep latency

1.93 ± 0.39

1.99 ± 0.21

2.22 ± 0.28

0.8

 Sleep quality

7.5 ± 0.37

6.87 ± 0.25

5.89 ± 0.23*

0.003a

 Morning alertness

7.29 ± 0.43

6.99 ± 0.24

6.15 ± 0.38

0.08

 Total sleep log score

22.41 ± 0.91

21.86 ± 0.56

19.82 ± 0.56*

0.03

 Awakenings number

1.31 ± 0.24

1.57 ± 0.14

1.82 ± 0.14

0.2

 Awakening time (min)

19.75 ± 4.66

26.14 ± 4.47

38.92 ± 6.73

0.8

 Nap time (min)

20.29 ± 7.06

34.71 ± 4.54

47.3 ± 6.69*

0.02

Actigraphy

 Nocturnal activity (counts)

732.53 ± 76.73

887.41 ± 77.53

1029.64 ± 179.53

0.5

 Nocturnal motility time (min)

30.69 ± 4.77

35.3 ± 3.56

38.47 ± 6.9

0.6

 Time in bed (min)

458.34 ± 15.73

421.67 ± 8.33

415.12 ± 11.71

0.04

PDSS total score is the sum of all its domains. Sleep log total score is obtained as: sleep quality + morning alertness + (10 − sleep latency)

* p < 0.05 versus controls (ANOVA followed by Dunnett’s post-hoc test)

aBrown–Forsythe adjustment for unequal variances was employed

Comparison of historical sleep data provided by PDSS with day-to-day assessment by sleep log and actigraphy

Significant correlations between PDSS and sleep log were found (Table 2). As can be seen, in general, sleep log quality scores correlated with all PDSS subdomains, except for Nocturia, which correlated only with increased awakening numbers, reduced morning alertness, and higher nocturnal activity.
Table 2

Relationships between PDSS, sleep log, and actigraphy in PD patients

 

Sleep log

Actigraphy

PDSS domains

Sleep latency

Sleep quality

Morning alertness

Total score

Awakenings number

Awakenings time

Nocturnal motility time

Sleep quality

r = −0.31 (p < 0.01)

r = 0.50 (p < 0.01)

r = 0.41 (p < 0.01)

r = 0.59 (p < 0.01)

r = −0.14 (p = 0.2)

r = −0.33 (p < 0.01)

r = −0.10 (p = 0.36)

Nocturnal restlessness

r = −0.14 (p = 0.9)

r = 0.43 (p < 0.01)

r = 0.32 (p < 0.01)

r = 0.31 (p < 0.01)

r = 0.02 (p < 0.9)

r = −0.29 (p < 0.01)

r = −0.08 (p < 0.7)

Nocturnal psychosis

r = −0.16 (p < 0.5)

r = 0.21 (p < 0.05)

r = 0.24 (p < 0.04)

r = 0.25 (p < 0.01)

r = 0.06 (p < 0.9)

r = −0.27 (p < 0.01)

r = −0.20 (p < 0.07)

Nocturia

r = −0.03 (p < 0.6)

r = 0.03 (p < 0.9)

r = −0.31 (p < 0.01)

r = −0.1 (p < 0.2)

r = −0.28 (p < 0.04)

r = 0.03 (p < 0.9)

r = −0.30 (p < 0.01)

Nocturnal motor symptoms

r = −0.15 (p < 0.4)

r = 0.48 (p < 0.01)

r = 0.56 (p < 0.001)

r = 0.50 (p < 0.01)

r = 0.05 (p < 0.8)

r = −0.39 (p < 0.01)

r = −0.03 (p < 0.8)

Diurnal somnolence

r = −0.10 (p < 0.5)

r = 0.26 (p < 0.03)

r = 0.28 (p < 0.02)

r = 0.30 (p < 0.01)

r = −0.11 (p < 0.3)

r = −0.12 (p < 0.2)

r = −0.10 (p < 0.5)

Data was analyzed by Pearson methods. Actigraphic variables were log transformed

The internal consistency of sleep logs sleep quality indicators were evaluated by factor analysis. Only one factor including sleep latency, sleep quality, and morning alertness, explaining 60% of total variance, could be found.

A multiple regression analysis showed that, on one hand, sleep log total score was independently related to H&Y score (r = −0.25, p = 0.05) and MADRS score (r = −0.24, p = 0.05). On the other hand, nocturnal activity correlated with LDED (r = −0.40, p = 0.02) and MMSE score (r = −0.25, p = 0.05).

Discussion

In the present study, day-to-day sleep assessment by sleep logs was compared to PDSS retrospective sleep evaluation. The foregoing results indicate that daily evaluations of sleep quality by sleep log correlated significantly with most PDSS subdomains, suggesting that both tools can evaluate sleep quality to a similar extent. Moreover, sleep quality evaluated by sleep logs was related to disease severity and depression in PD, which coincides with previous reports [3, 11, 25].

The main limitation of this study is that polysomnography (PSG) was not used as the reference method for sleep evaluation. Nonetheless, the significant divergence between PSG and subjective sleep evaluation observed in PD [13] as well as the result that subjective more than objective findings of impaired sleep quality impact negatively on quality of life [19] suggest that PSG may not be the best method against which subjective sleep evaluation tools should be compared.

Many questions on the sleep log and PDSS are similar, providing the basis for the results herein observed. Nonetheless, while the PDSS retrospectively assesses sleep quality in 15 days constituting a simple bedside screening of sleep disturbances in PD, the degree of detail provided by the sleep logs make them suitable for analysis of particular cases or for clinical interventional studies.

Actigraphy is a common companion to the sleep log [4, 21, 23]. Its use in PD sleep studies [5, 8] has been questioned mainly because it may not be accurate enough to discern sleep state from PD-related immobility or tremor [12], which was confirmed in our study.

In summary, retrospective sleep quality evaluation by the PDSS and day-to-day evaluation by sleep log coincided. While PDSS can be used as a simple bedside sleep disturbances screening tool, sleep logs are suitable for analysis of particular cases or for clinical interventional studies. On the other hand, while utility of actigraphy for nocturnal activity measurement is warranted, its role in sleep evaluation in PD appears to be very limited.

Notes

Acknowledgments

This study was supported by grants from the Agencia Nacional de Promoción Científica y Tecnológica, Argentina (PICT 14087) and the Universidad de Buenos Aires (ME 075). DPC is a Research Career awarded from the Argentine Research Council (CONICET).

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • Santiago Perez-Lloret
    • 1
    • 2
  • Malco Rossi
    • 1
    • 2
  • María Inés Nouzeilles
    • 1
  • Claudia Trenkwalder
    • 3
    • 4
  • Daniel P. Cardinali
    • 2
  • Marcelo Merello
    • 1
  1. 1.Movement Disorders SectionRaul Carrea Institute for Neurological Research, FLENICdad. Aut. Buenos AiresArgentina
  2. 2.Department of Physiology, Faculty of MedicineUniversity of Buenos AiresBuenos AiresArgentina
  3. 3.Paracelsus-Elena-HospitalKasselGermany
  4. 4.University of GoettingenGöttingenGermany

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